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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Measuring to Learn | 15% | - Purpose of measurement - Evaluating DevOps performance - Tools and techniques for measurement |
| Topic 2: Measuring to Improve | 15% | - Meaningful metrics and indicators - Avoiding measurement pitfalls - Value stream mapping |
| Topic 3: Articulating and Realising Value | 10% | - Investment cases and business justification - Value outcomes and benefits realization - Communicating value to stakeholders |
| Topic 4: Leading Cultural Change | 5% | - Driving behavioural and cultural transformation - Empowerment and participation |
| Topic 5: Becoming a DevOps Organisation | 15% | - Building safety and continuous improvement - Differences between DevOps and traditional IT - DevOps principles and adoption |
| Topic 6: Target Operating Models and Organizational Design | 10% | - Designing DevOps-aligned operating models - Team structures and collaboration - Conway's Law and organizational structure |
| Topic 7: Unlearning Behaviors | 15% | - Cognitive bias and psychological safety - Mindset and mental models - Governance, risk and compliance in DevOps |
| Topic 8: DevOps and Transformational Leadership | 15% | - Definitions and benefits of DevOps - Transformational leadership principles - Leadership frameworks for change |
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NEW QUESTION # 41
Which of the following is a desired outcome for DevOps?
Answer: C
Explanation:
The correct answer is A because end-to-end lifecycle accountability is a core desired outcome of DevOps.
DevOps seeks to move away from fragmented ownership, where one group builds, another tests, another releases, and another operates. Instead, teams should share responsibility for the full lifecycle of a product or service, from idea and design through development, deployment, operation, feedback, and continual improvement.
This accountability improves flow because teams no longer optimize only their local function. It also improves quality and reliability because the people creating change are connected to operational outcomes and customer feedback. When teams own the lifecycle, they are more likely to build operable, secure, observable, and supportable services. This also reduces blame between departments and encourages learning from incidents and production behavior.
The other options describe traditional constraints that DevOps tries to reduce. Dependencies between teams slow delivery and create coordination burden. Significant upfront planning can delay learning and increase batch size. Handoffs between teams introduce queues, information loss, and weak accountability. Relevant study guide references: Becoming a DevOps Organization; Target Operating Models and Organizational Designs; Measuring to Improve; Measuring to Learn.
NEW QUESTION # 42
In Kolb's Learning Styles, when a person is thinking and watching, what are they doing?
Answer: A
Explanation:
The correct answer is B. In Kolb's Learning Styles model, "thinking and watching" corresponds to Assimilating. Kolb's model combines two dimensions: how people perceive information and how they process it. "Thinking" aligns with abstract conceptualization, while "watching" aligns with reflective observation. Together, these form the Assimilating learning style.
Assimilating learners tend to prefer logical analysis, structured models, concepts, theories, and reflective understanding. They often want to understand the "why" behind a practice before applying it. In DevOps leadership, recognizing different learning styles is useful because transformation requires people to learn new behaviors, unlearn old assumptions, and adopt new ways of working. A leader who only communicates through one style may fail to engage the whole organization.
The other styles map differently. Diverging is feeling and watching. Converging is thinking and doing.
Accommodating is feeling and doing. DevOps leaders should support learning through explanation, experimentation, reflection, practice, and feedback so that different learning preferences are addressed.
Relevant study guide references: Unlearning Behaviors; Maintaining Energy and Momentum; DevOps and Transformational Leadership.
NEW QUESTION # 43
What characterizes the Fourth Industrial Revolution?
Answer: D
Explanation:
The correct answer is B. The Fourth Industrial Revolution is characterized by the convergence of cyber- physical systems, artificial intelligence, the Internet of Things, advanced automation, data-driven decision- making, and highly connected digital ecosystems. In the DevOps Leader context, this matters because organizations are operating in an environment where speed, adaptability, resilience, security, and continuous learning are essential.
The other options correspond more closely to earlier industrial revolutions. The steam engine is associated with the First Industrial Revolution. Mass production is associated with the Second Industrial Revolution.
Digital and automation are more closely associated with the Third Industrial Revolution, where computing and electronics transformed production and business processes.
The Fourth Industrial Revolution increases pressure on organizations to respond rapidly to customer needs, market changes, cyber threats, and technological disruption. DevOps provides a leadership and operating model for this environment by improving flow, feedback, experimentation, automation, and collaboration across business and technology teams. Relevant study guide references: DevOps and Transformational Leadership; Becoming a DevOps Organization; Articulating and Socializing Vision.
NEW QUESTION # 44
Bernhard is an expert tester and whilst he likes the new model his organization has chosen, which means he is in a cross-functional team, he also misses working in a group of testers and sharing best practice and knowledge. He goes to his chapter meetups but wants a broader community to work with on the emerging artificial intelligence based testing automation tools becoming available in the market.
What could Bernhard do?
Answer: B
Explanation:
The correct answer is A because a guild is an appropriate structure for a broader community of interest that spans teams, squads, chapters, or tribes. Bernhard already participates in chapter meetups, which typically connect people with the same discipline or competency area, such as testing. However, his need is more specific and broader: collaboration around emerging AI-based testing automation tools across the organization.
A guild allows interested practitioners to voluntarily share knowledge, develop practices, explore tools, run experiments, and build capability around a shared topic. This fits the DevOps principle of enabling decentralized learning while avoiding the return to rigid functional silos. It also supports communities of practice, which help specialists maintain professional excellence while still contributing to cross-functional delivery teams.
Option B introduces unnecessary hierarchy. Option C is incorrect because squads are delivery teams, not communities for specialist knowledge sharing. Option D may help locally, but it is narrower than forming a guild and depends on the chapter lead rather than creating an open community. Relevant study guide references: Target Operating Models and Organizational Designs; Maintaining Energy and Momentum; Becoming a DevOps Organization.
NEW QUESTION # 45
Which of the following is NOT a type of cognitive bias?
Answer: A
Explanation:
The correct answer is A because "Flamingo fallacy" is not a recognized cognitive bias in the context of DevOps leadership, organizational learning, or decision-making psychology. Cognitive biases are systematic patterns of deviation in judgment that can distort how individuals and groups interpret information, assess risk, make decisions, and respond to evidence. In DevOps transformation, these biases are especially important because they can reinforce legacy behaviors, prevent learning, and cause leaders to misread the real state of the organization.
The clustering illusion is a recognized bias where people perceive patterns in random or limited data. This can lead teams to infer false trends from incidents, metrics, or customer feedback. The bandwagon effect is also a recognized bias, where people adopt beliefs or behaviors because others do, rather than because evidence supports them. Risk compensation describes behavioral adjustment in response to perceived safety or risk controls and is relevant when assessing how people respond to safeguards, automation, or controls.
DevOps leaders must unlearn biased thinking by using evidence, feedback, experimentation, and diverse perspectives. Relevant study guide references: Unlearning Behaviors, Measuring to Learn, DevOps and Transformational Leadership, and Measuring to Improve.
NEW QUESTION # 46
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